Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Taman Klebang Putra
|
RM362,000
|
RM159
|
2,279 sqft
|
|
|
|
Type Carnelian
|
RM333,000
|
RM146
|
2,279 sqft
|
|
Selling in Taman Klebang Putra? Homes here sold for a median of RM347,500.
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Nearby areas in Ulu Kinta
Bandar Baru Lapangan
Taman Klebang Putra
Taman Polo Laguna @ Tambun
Taman Desa Lang Indah
Medan Klebang Restu
Marketplace listings
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Ulu Kinta
Market Snapshot
RM347,500
RM153 psfMedian transaction price
RM180,000
RM150 psfMedian transaction price
31, Jalan Putra D/14, Taman Klebang Putra, 31200 Chemor, Perak, Malaysia
MapsTaman Klebang Putra in Kinta, Perak recorded 2 subsale transactions between 2021 and 2026, sized between 2,275 and 2,324 sqft, with a median price of RM348K and a median price per square foot (PSF) of RM153.
This area contains both residential and commercial properties. View 167 residential properties or 18 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM348K, with most transactions falling within a stable range of RM333K to RM362K, and a typical market range of RM333K to RM362K.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
For price per square foot, the median is RM153, with most transactions between RM146 and RM159. The usual range is RM121.00 to RM184.00, showing that most units are priced quite close to each other. With an IQR of RM63.00 and MAD of RM6, the PSF demonstrates reasonable consistency across the market.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.